Network Data Center Engineer

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We are seeking a Network Data Center Engineer to design, build, and evolve scalable, resilient, and highly automated data center network architectures that enable private cloud and hybrid cloud platforms. This is a senior individual contributor role responsible for defining technical direction, architecture standards, and hands‑on engineering solutions across modern, multi‑vendor data center environments.
The ideal candidate is a deep technical expert in large‑scale data center networking, with strong experience supporting AI‑driven workloads, GPU‑based platforms, and cloud‑like infrastructure, and a proven track record in automation and Infrastructure as Code, including leadership in Arista‑based environments.

Key Responsibilities
Data Center & Network Architecture

• Desing, Architect and standardize modern data center network designs optimized for scale, resiliency, and performance.

• Design Layer 2 and Layer 3 architectures leveraging EVPN/VXLAN for multi‑tenant, cloud‑ready environments.

• Lead architecture decisions in a multi‑vendor network ecosystem, with strong emphasis on Arista Networks platforms.

• Develop reference architectures, design patterns, and technical standards aligned with Arista Validated Designs (AVD) and enterprise best practices.

Arista Platforms & Multi‑Vendor Networking

• Serve as a technical authority for Arista EOS‑based data center fabrics, while integrating with other vendors as required.

• Design and operate network fabrics using Arista CloudVision (CVP) for centralized management, telemetry, and lifecycle operations.

• Leverage AVD to drive consistent, repeatable, and automated fabric deployments.

• Evaluate and integrate Arista solutions within a broader multi‑vendor strategy to avoid lock‑in while maximizing operational efficiency.

AI, GPU & High‑Performance Workload Enablement

• Design network fabrics capable of supporting AI/ML training and inference workloads, including large‑scale GPU clusters.

• Optimize east‑west traffic, bandwidth, and latency for GPU fabrics and distributed compute platforms.

• Support architectures requiring high throughput, deterministic performance, and scalable growth.

• Collaborate with compute and platform teams to align network design with AI and GPU workload requirements.

Private Cloud & Hybrid Enablement

• Enable network architectures that support private cloud platforms and cloud‑like self‑service consumption.

• Integrate networking into virtualization, container, and platform environments.

• Support secure and scalable hybrid connectivity between private data centers and public cloud environments.

• Ensure designs align with segmentation, Zero Trust networking, and security best practices.

Automation & Infrastructure as Code

• Drive automation‑first networking, minimizing manual configuration and operational risk.

• Design and implement Infrastructure as Code (IaC) solutions using Python, Terraform, Ansible, AVD, or similar frameworks.

• Build reusable automation modules, pipelines, and workflows for network provisioning and lifecycle management.

• Promote declarative, version‑controlled network operations across teams.

Observability & AI‑Driven Operations

• Define and implement advanced network observability strategies, including streaming telemetry, flow data, logs, and metrics.

• Utilize Arista CloudVision telemetry and AI/ML‑driven analytics platforms to detect anomalies, predict failures, and optimize performance.

• Integrate network observability into broader SRE and platform monitoring ecosystems.

• Use data‑driven insights to improve reliability, capacity planning, and incident response.

Engineering Excellence & Collaboration

• Act as a technical authority and architectural advisor for data center networking initiatives.

• Review designs, influence standards, and mentor engineers (without direct people management).

• Partner closely with cloud, SRE, security, and application teams.

• Participate in complex incident analysis and long‑term architectural remediation.

Minimum Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

• 8+ years of experience in data center networking or infrastructure engineering.

Preferred Qualifications

• Deep expertise in EVPN/VXLAN‑based architectures and large‑scale routed fabrics.

• Strong hands‑on experience with Arista EOS, CloudVision (CVP, CVaaS), and AVD.

• Experience designing networks for private cloud, AI, GPU, or high‑performance computing environments.

• Proven experience with automation and Infrastructure as Code (Python, Terraform, Ansible, AVD, or equivalent).

• Strong understanding of BGP, routing at scale, network segmentation, and resiliency patterns.

• Experience designing or operating GPU fabrics or AI platforms at scale.

• Familiarity with lossless networking, RDMA, or high‑bandwidth fabrics.

• Experience supporting Kubernetes, OpenShift, or cloud‑native platforms.

• Hands‑on experience with network telemetry and AI‑driven observability tools.

• Experience integrating Arista platforms within multi‑vendor data center environments.

• Strong documentation and architecture‑review skills.